DiSCVR

The Document Introspection System for CognitiVe Research
(DiSCVR) is an extensible open source project that analyzes user-provided research
papers and delivers recommendations for related content and papers.
DiSCVR is a pipeline of modular services, clients, and databases that
extract Information about the research paper and match it with similar papers.
DiSCVR provides

A foundation for research into common programming,
computation, and communication patterns of scale-out and scale-up cognitive
computing applications.

A platform for implementation, integration, and evaluation
of cognitive computing and learning techniques.

A realistic cognitive computing application that can be
used to evaluate the performance and energy-efficiency implications of novel
computer systems.

Compiler and scheduling opportunity for performing
optimizations on application pipelines as well as scheduling services to run on
ideal hardware architectures.

Insights from DiSCVR and other end-to-end cognitive
workflows will help us develop a generic Cognitive Application Builder (CAB) to
improve cognitive application developers' productivity and deployment scalability.